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Seventh INFN International School on: "Architectures, tools and methodologies for developing efficient large scale scientific computing applications" ESC15 - Bertinoro (Forlì-Cesena) Italy 25-31 October 2015

Oct 25 – 31, 2015
Bertinoro
Europe/Rome timezone

Session

Session 5

Oct 30, 2015, 8:30 AM
Bertinoro

Bertinoro

Presentation materials

There are no materials yet.

  1. 0. Programming GPUs with OpenCL: Kernel programs
    Dr Tim Mattson (Intel)
    10/30/15, 8:30 AM
  2. 1. Programming GPUs with OpenCL: Performance issues
    Dr Tim Mattson (Intel)
    10/30/15, 9:15 AM
  3. 2. Lecture
    10/30/15, 10:30 AM
  4. 3. Cluster Computing with MPI
    Dr Tim Mattson (Intel)
    10/30/15, 11:15 AM
  5. 4. Consolidation
    10/30/15, 12:00 PM
  6. 59. The 10 core constructs every MPI programmer should know
    Dr Tim Mattson (Intel)
    10/30/15, 3:00 PM
  7. 60. Geometric decomposition and MPI
    Dr Tim Mattson (Intel)
    10/30/15, 3:45 PM
  8. 64. Information
    Mauro Morandin (PD)
    10/30/15, 5:00 PM
  9. 61. Consolidation
    10/30/15, 5:05 PM
  10. 63. Big Data: What happens when data actually gets big?
    Dr Tim Mattson (Intel)
    10/30/15, 6:35 PM
    There are Big Data problems today. Usually when researchers talk about Big Data, however, the data isn't that big. An inefficient solution stack based on direct products over data-sets (Map-Reduce/Hadoop), cramming data (the square peg) into whatever data-store is available (the round hole), and moving data around between data-severs and computer-servers: all of this is OK if Big Data is not...
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